我想在Raspberry Pi上使用sktime进行时间序列分类推理。我无法正确安装它所需的依赖项，特别是numpy和numba。当我运行pip install sktime时，它可以正确安装并正确导入。但是当我尝试使用fit或predict时，它会抛出一个错误。

pip install sktime

# In python interpreter
import numpy as np
from sktime.classification.kernel_based import RocketClassifier
rocket = RocketClassifier(num_kernels=2000)
X_train = np.array([[[1,2,3,4,4,5]], [[1,2,3,4,5,5]], [[1,2,4,5,6,7]]])
y_train = np.array([0, 0, 1])
rocket.fit(X_train, y_train)

字符串
这给。

UnsupportedParforsError: Failed in nopython mode pipeline (step: nopython mode backend)
The 'parallel' target is not currently supported on 32 bit hardware.
During: lowering "id=0[LoopNest(index_variable = parfor_index.62, range = (0, X_size0.1, 1)), LoopNest(index_variable = parfor_index.63, range = (0, $50binary_multiply.23, 1))]{335: <ir.Block at /home/sashi/.local/lib/python3.9/site-packages/sktime/transformations/panel/rocket/_rocket_numba.py (180)>}Var($parfor_index_tuple_var.69, _rocket_numba.py:180)" at /home/sashi/.local/lib/python3.9/site-packages/sktime/transformations/panel/rocket/_rocket_numba.py (180)

型
我相信这是因为numpy和numba版本不兼容。

numba             0.52.0
numpy             1.21.1

型
我尝试了pip install numba==0.53.0，但安装Failed to build llvmlite失败。
我的平台是：

- Current OS
Distributor ID: Raspbian
Description:    Raspbian GNU/Linux 11 (bullseye)
Release:    11
Codename:   bullseye
11.7
- Kernel
6.1.21-v7+
- Architecture
armv7l
- Model
Raspberry Pi 3 Model B Rev 1.2

型
如何在raspberry pi上安装sktime？
任何帮助，如果非常感谢！